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Proceedings Paper

Detection and localization of edge contours
Author(s): Dongjiang Xu; Takis Kasparis
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Paper Abstract

Edge contour extraction plays an important role in computer vision because edge contours are relatively invariant to the changes of illumination conditions, sensor characteristics, etc. In particular, edge contours can be used as matching primitives for correspondence determination, an important step in video geo-registration. In this paper, we present a new approach for edge contour extraction based on a three-step procedure that using a RCBS-based scheme, inherently more accurate results can be produced, even though the edge model used for edges is relatively simple. We also present recursive filters that can efficiently smooth splines by approximating a signal with a complete set of coefficients subject to certain regularization constraints. We demonstrate our method on both synthetic and real images.

Paper Details

Date Published: 14 August 2003
PDF: 11 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.486351
Show Author Affiliations
Dongjiang Xu, Univ. of Central Florida (United States)
Takis Kasparis, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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